Senior Software Engineer (Python/MLOps), Bitfount

• Have 5+ years of relevant experience designing and building software applications at a tech-forward, software company with a strong emphasis on system design principles and methodologies
• Either have MLOps experience, or experience with the practical challenges involved with training and deploying machine learning models
• Have an excellent working knowledge of Python and Python unit testing
• Have proven experience in using:
• Automated testing frameworks and contributing to continuous integration pipelines, and
• Container technologies or developing desktop applications
• Have a strong understanding of modern DevOps practices, including version control systems (e.g., Git), continuous integration, and continuous deployment pipelines
• Have strong communication skills to bridge the gap between design, product, and engineering
• Are enthusiastic about working on an ML-driven product team
• Can pick things up quickly and adapt - we are a start-up after all!
• Are highly curious; you’re not satisfied with getting something to work, you want to understand why it works and improve the quality of the product/software
• Are highly driven to see things through to the end: the job isn’t done until it's tested, in the product, and delivered to our customers

Desirable

• Bitfount is looking for a motivated, experienced, senior-level Python Software Engineer, who has experience in MLOps and ideally also in desktop app development to join our Engineering team
• You will be working with the team developing our cutting-edge desktop application and its associated python backend. The app allows users to deploy, use, and build ML models collaboratively, as well as perform data analytics - all in a privacy-preserving, easy-to-use manner. The app runs on the user’s own hardware rather than in the cloud, and therefore faces unique challenges in remaining both flexible and robust despite being deployed across disparate hardware and software environments
• More about you
• You are an experienced engineer, with a track record of successfully leveraging the foundations of modern software engineering and DevOps practices, with a passion for performance and reliability. You take ownership of your work and see things through. You emphasise code quality and testing and are comfortable with high quality software practices (including code reviews, testing practices, and software design)
• You are excited by the opportunity to lead initiatives around improving our ML framework's reliability and performance across various hardware and OS configurations. You may have primarily worked in a cloud setting but are keen to apply your experience to enable training and running models on consumer hardware
• You like to work in a diverse team, relish participating in team-led discussions, and are an effective team player. You will have a key role on improving engineering standards and shaping best practices within the team
• You are energised by our mission to safely unlock the value of data for the benefit of humankind - as we expect you to play an important part in our mission to deliver this goal!

• Getting to know you: 30 min chat with our People and Operations manager to talk about your experience and to answer questions about the role
• Technical interview: 60 minute interview with 2 Python/ML engineers
• Leadership interview: 60 minute chat with our Head of Engineering about your prior accomplishments and the challenges you’ve faced as an engineer
• Bit-of-Bitfount (Optional): A paid full day of work, working with the team on an assignment comparable to the regular duties of this role and getting to meet the team
• Offer 🎉